A rst order system, PAL, that can learn Chess patterns in the form of Horn clauses from simple example descriptions and general purpose knowledge about Chess is described. This is the rst time that Chess patterns which can be used for over-the-board play have been learned. To test if the patterns learned by PAL can be used to play, a simple playing strategy for the King and Rook against King (K...

In this paper we present a new symbolic algorithm for the classification, i. e. the calculation of the rewards for both players in case of optimal play, of two-player games with general rewards according to the Game Description Language. We will show that it classifies all states using a linear number of images concerning the depth of the game graph. We also present an extension that uses this ...

Move prediction systems have always been part of strong Go programs. Recent research has revealed that taking interactions between features into account improves the performance of move predictions. In this paper, a factorization model is applied and a supervised learning algorithm, Latent Factor Ranking (LFR), which enables to consider these interactions, is introduced. Its superiority will be...

Many research teams and individuals have computed endgame databases for the game of chess which use the distance-to-mate metric, enabling their software to forecast the number of moves remaining until the game is over. This is not the case for the game of checkers. Only one programming team has generated a checkers database capable of announcing the distance to the terminal position. This paper...